Predicting the Quality of Service Experienced By the Users Based on the Measurement History of the Network
Syed Sajid Quammaruddin Javid1, Pradosh Chandra Patnaik2, M V. Ramana Murthy3, Syed Abdul Sattar4
1Syed Sajid Quammaruddin Javid*, Research Scholar, Department of Computer Science, Rayalaseema University, India.
2Pradosh Chandra Patnaik, Associate Professor, Department of Computer Science & Engineering, ASTRA, India.
3M V. Ramana Murthy, Department of Mathematics & Computer Science, Osmania University, India.
4Syed Abdul Sattar, Principal Nawab Shah Alam Khan College of Engineering & Technology, India.
Manuscript received on November 11, 2019. | Revised Manuscript received on 21 November, 2019. | Manuscript published on December 10, 2019. | PP: 2286-2290 | Volume-9 Issue-2, December 2019. | Retrieval Number: B6703129219/2019©BEIESP | DOI: 10.35940/ijitee.B6703.129219
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Growing from one generation to the following, wireless networks have frequently been enhancing their efficiency in various methods and also for varied purposes. The increase in the usage of different mobile phone world broad web functions may result in degeneration in the mobile network performance. Such destruction often drops the efficiency of the mobile network solutions that can influence the mobile World broad web consumer’s experience, which can create the world wide web individuals switch between different mobile network operators to get excellent customer experience. In this particular situation, the effectiveness of mobile phone network operators primarily relies on the capability to make a certain top quality of experience (QoE), which is a procedure of consumers’ identified quality of mobile Internet company. The goal is actually to exploit the information made by and already accessible in the network to appropriately release, set up, and optimize network nodules.
Keywords: Growing from One Generation, Wireless Networks, Quality, History of the Network
Scope of the Article: Network Traffic Characterization and Measurement